{"id":"W2070727336","doi":"10.1038/gim.2015.47","title":"A classification system for clinical relevance of somatic variants identified in molecular profiling of cancer","year":2015,"lang":"en","type":"article","venue":"Genetics in Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Ontario Ministry of Health and Long-Term Care; Princess Margaret Cancer Foundation; Cancer Care Ontario","keywords":"Somatic cell; Computational biology; Profiling (computer programming); Clinical significance; Biology; Medicine; Genetics; Bioinformatics; Pathology; Gene; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008970196,0.000089663,0.0003053689,0.00007293832,0.000006116106,0.000002018923,0.0001621388,0.0001252535,8.477169e-7],"category_scores_gemma":[0.001014668,0.00008680086,0.00003830155,0.0001309672,0.0001012724,0.000001193741,0.00004513945,0.00005960196,2.432301e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004039931,"about_ca_system_score_gemma":0.0002247775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007174466,"about_ca_topic_score_gemma":0.0001899726,"domain_scores_codex":[0.9986635,0.00005894569,0.000753312,0.0002422636,0.0001437177,0.0001382306],"domain_scores_gemma":[0.9990459,0.00008153766,0.0002764531,0.0003247534,0.0002140239,0.00005729884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002736301,0.0001247784,0.1672624,0.0006072677,0.00004441676,0.000003226469,0.0001965988,0.002326322,0.8242224,0.001103633,0.0003171497,0.003518089],"study_design_scores_gemma":[0.01167172,0.001637907,0.1086325,0.001546955,0.0001814552,0.00000602914,0.002470001,0.02190552,0.8480945,0.002143924,0.001301557,0.000407914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805887,0.008921563,0.009188494,0.0001165375,0.0004955093,0.0004778665,0.00002609998,0.000002133728,0.0001830379],"genre_scores_gemma":[0.9908269,0.002223556,0.006601618,0.0000452336,0.0001572796,0.00007404213,0.00004187843,0.00001575528,0.00001373034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05862996,"threshold_uncertainty_score":0.3539637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07566081915212035,"score_gpt":0.3947365688251643,"score_spread":0.3190757496730439,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}